Chemometrics: Data Analysis for the Laboratory and Chemical Plant | Semantic Scholar Skip to search formSkip to main content> Semantic Scholar's Logo Search Sign InCreate Free Account You are currently offline. Some features of the site may not work correctly. DOI:10.1198/tech.2004.s738 Corpus ID: 30644901Chemometrics: Data Analysis for the Laboratory and Chemical Plant @article{Booth2004ChemometricsDA, title={Chemometrics: Data Analysis for the Laboratory and Chemical Plant}, author={David E. Booth}, journal={Technometrics}, year={2004}, volume={46}, pages={110 - 110} } David E. Booth Published 2004 Mathematics, Computer Science Technometrics It's not surprisingly when entering this site to get the book. One of the popular books now is the chemometrics data analysis for the laboratory and chemical plant. You may be confused because you can't find the book in the book store around your city. Commonly, the popular book will be sold quickly. And when you have found the store to buy the book, it will be so hurt when you run out of it. This is why, searching for this popular book in this website will give you benefit. You will not run… Expand View on Taylor & Francis Save to Library Create Alert Cite Launch Research Feed Share This Paper 761 CitationsHighly Influential Citations 87 Background Citations 209 Methods Citations 299 Results Citations 1 View All Topics from this paper Chemometrics Book 761 Citations Citation Type Citation Type All Types Cites Results Cites Methods Cites Background Has PDF Publication Type Author More Filters More Filters Filters Sort by Relevance Sort by Most Influenced Papers Sort by Citation Count Sort by Recency Statistics and Chemometrics for Analytical Chemistry, 6th Edition J. N. Miller, J. Miller Chemistry 2010 131 Save Alert Research Feed Classification of commercial Catuaba samples by NMR, HPLC and chemometrics. C. Daolio, F. L. Beltrame, A. Ferreira, Q. Cass, D. A. Cortez, M. M. 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Bayne Mathematics, Computer Science Technometrics 2002 143 Save Alert Research Feed A Neural Network Approach to the Detection of Nuclear Material Losses James H. Hamburg, David E. Booth, G. Weinroth Mathematics, Computer Science J. Chem. Inf. Comput. Sci. 1996 18 Save Alert Research Feed The Use of Robust Smoothers in Nuclear Material Safeguards J. Grznar, David E. Booth, Paul R. Sebastian Mathematics, Computer Science J. Chem. Inf. Comput. Sci. 1997 10 Save Alert Research Feed Using polynomial smoothing and data bounding for the detection of nuclear material diversions and losses Paul R. Sebastian, David E. Booth, M. Hu Mathematics, Computer Science J. Chem. Inf. Comput. Sci. 1995 10 Save Alert Research Feed Related Papers Abstract Topics 761 Citations 4 References Related Papers Stay Connected With Semantic Scholar Sign Up About Semantic Scholar Semantic Scholar is a free, AI-powered research tool for scientific literature, based at the Allen Institute for AI. 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